Education
M.S. Computer Engineering
B.S. Machine Learning (CPE) (Minors in Mathematics, Computer Science)
Virginia Tech, 2021
Experience
MIT Lincoln Laboratory - Autonomous Systems Engineer
March 2023 - PRESENT
- Designed Autonomous Systems at MIT Lincoln Laboratory, applying cutting-edge technologies and methodologies.
- Utilized 3D Scene Graphs to analyze outdoor data and successfully executed complex tasks on a Boston Dynamics SPOT Robot.
- Trained CLIP-based models for Automatic Target Recognition (ATR), contributing to advancements in the field.
- Explored innovative counter methods to zero-shot ATR techniques, enhancing the accuracy and reliability of ATR systems.
Heron Systems, A Shield AI Subsidiary - Machine Learning Engineer
December 2019 - August 2022
- Trained Reinforcement Learning (RL) agents for government defense contracts, incorporating transfer learning and ensuring trustworthy AI.
- Developed a RL testing environment with configurable difficulties, enabling the creation of generalized transfer learning algorithms.
- Created custom neural network modules to validate game balance for DARPA Gamebreaker, achieving a 90% accurate win probability classifier for Starcraft II.
- Devised novel reward schemes and neural networks for RL AI Fighter Jet Agents, leading to a 1st place finish in the DARPA ADT competition.
Virginia Tech ECE Department - Reinforcement Learning Researcher
December 2021 - December 2022
- Researched Multi-Agent Generalized Reinforcement Learning (RL) for Autonomous Systems, contributing to advancements in the field.
- Utilized PyBullet to simulate collaborative systems, enabling the development of realistic testing environments.
- Created drone collaboration simulation environments and a data processing pipeline, facilitating rapid testing and evaluation of RL algorithms.
Virginia Tech ECE Department - Graduate Teaching Assistant
January 2022 - December 2022
- Collaborated with professors and TAs to develop a comprehensive software design curriculum and engaging projects.
- Taught subject matter and provided guidance to students in two classes, fostering their understanding of software development concepts.
- Utilized C++ and Qt to facilitate hands-on learning and practical application of software design principles.
PowerHAUS, Virginia Tech ECE Department - Senior Design Team Member
February 2021 - December 2021
- Designed a TF2 object detection image classifier and a mobile app, enabling intuitive control of smart devices in a smarthome environment.
- Implemented a novel approach to overcome limited data availability, enhancing the accuracy and reliability of the image classifier.
- Validated the safety and functionality of power electronics cartridges, ensuring the reliability of high-voltage systems for deployment at the Dubai Expo 2022.
Collins Aerospace - Embedded UAV Software Engineering Intern
May 2020 - August 2020
- Developed a multi-camera visual navigation pipeline for a GPS-denied UAV, enhancing its autonomous capabilities.
- Utilized MATLAB Simulink and C++ to implement robust and efficient algorithms for real-time visual navigation.
- Collaborated remotely with a team of interns to successfully demonstrate vision-based autonomous landing using fiducial markers.
Team Juvo, Virginia Tech - Design Lead and Upperclassman Mentor
September 2018 - August 2020
- Led the design, prototyping, and 3D printing of a Wearable Mouse Band assistive device, addressing the needs of a disabled student.
- Implemented innovative solutions to improve computer navigation speeds by 30% and click accuracy by 80%, enhancing the user's productivity and accessibility.
- Mentored and supported underclassmen team members, fostering their growth and development as engineers and designers.
Skills
Note: A subjective overview of my skills
Selected Courses
CS 3704:
Intermediate Software Design
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CS 5114:
Theory of Algorithms
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ECE 4524:
Artificial Intelligence and Engineering Applications
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ECE 4525:
Video Game Design Project
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ECE 4714:
Probability and Statistics for Electrical Engineers
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ECE 4804/4805:
Senior Design Project
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ECE 5424:
Advanced Machine Learning
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ECE 5554:
Computer Vision
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ECE 5984:
Special Studies: Trustworthy Machine Learning
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ECE 5984:
Special Studies: Reinforcement Learning
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MATH 4984:
SS: Quantum Cryptography
